Esteban Charria‐Girón

The paper expands a bile acid and steroidal MS/MS spectral library across three repositories, capturing diverse structures and providing a resource for classifying unknown spectra.

The paper introduces arteMIS, a framework for optimizing molecular network parameters in metabolomics, showing improved network quality over default settings.

This paper introduces a method to assess the reliability of metabolite annotations in untargeted metabolomics by evaluating match reproducibility under spectral perturbation.

SpecReBoot improves molecular network analysis by quantifying confidence in MS/MS similarity scores, revealing hidden chemical relationships.

The paper investigates metabolome differentiation in two Cordyceps species to understand their role in host colonization during infection.